Giulia Menichetti
- Molecular Biology
- Statistical and Nonlinear Physics top 2%
- Public Health, Environmental and Occupational Health top 10%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Albert-Ĺaszló BarabásiGinestra BianconiJoseph LoscalzoLuca Dall’AstaDaniel RemondiniRaúl J. MondragónPietro PanzarasaDariush Mozaffarian
- Topics
- Nutritional Studies and Diet (9 papers)Bioinformatics and Genomic Networks (9 papers)Metabolomics and Mass Spectrometry Studies (7 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Giulia Menichetti
31 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 347
- Statistical and Nonlinear Physics 270
- Public Health, Environmental and Occupational Health 188
- Computational Theory and Mathematics 150
- Computer Networks and Communications 119
Countries citing papers authored by Giulia Menichetti
This map shows the geographic impact of Giulia Menichetti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giulia Menichetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Menichetti more than expected).
Fields of papers citing papers by Giulia Menichetti
This network shows the impact of papers produced by Giulia Menichetti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giulia Menichetti. The network helps show where Giulia Menichetti may publish in the future.
Co-authorship network of co-authors of Giulia Menichetti
This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Menichetti. A scholar is included among the top collaborators of Giulia Menichetti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giulia Menichetti. Giulia Menichetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | Machine learning prediction of the degree of food processingbreakdown → | 85 |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 18 | |
| 8 | 4 | |
| 9 | 36 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 3 | |
| 13 | 192 | |
| 14 | 34 | |
| 15 | 16 | |
| 16 | 3 | |
| 17 | 26 | |
| 18 | 109 | |
| 19 | Entropy of a network ensemble: definitions and applications to genomic data. | 4 |
| 20 | 139 |
About Giulia Menichetti
Giulia Menichetti is a scholar working on Aging, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (9 papers), Bioinformatics and Genomic Networks (9 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (270 citations), Computational Theory and Mathematics (150 citations) and Aging (12 citations). Giulia Menichetti has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Albert-Ĺaszló Barabási, Ginestra Bianconi, Joseph Loscalzo, Luca Dall’Asta, Daniel Remondini, Raúl J. Mondragón, Pietro Panzarasa, Dariush Mozaffarian, Christoph Rahmede and Gastone Castellani. Their work appears in journals such as New England Journal of Medicine, Physical Review Letters and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.